About Steve McConnell

Steve McConnell has been a leading expert in software estimation, software measurement, and software engineering practices for more than 20 years. Most recently, he has used his expertise in data analysis, measurement, and forecasting to analyze and forecast Covid-19 data. Steve is the author of Code Complete, which is often cited as the most popular software development book of all time. Readers of Software Development magazine named him one of the three most influential people in the software industry along with Bill Gates and Linus Torvalds. Steve’s most recent book is More Effective Agile: A Roadmap for Software Leaders. At Construx, he acts as CEO, founder, and Chief Software Engineer. Steve has served in numerous software industry roles, including Editor in Chief of IEEE Software magazine, Chair of the IEEE Computer Society’s Professional Activities Board, member of the Panel of Experts of the SWEBOK project, member of the Computer Science Advisory Board of Whitman College, chair of the Computer Science Advisory Board of Seattle University, and host of Construx’s annual Software Leadership Summit.

Provincial History of Infections 7/2/20

These graphs show the history of Covid-19 infections in each province. The total number of infections is calculated using the two infection models. Most provinces have had few enough positive tests and deaths that the numbers are too small to model accurately. The graphs are nonetheless provided for the sake of completeness. Irregularities in Read more

By |2020-07-04T21:46:22+00:00July 4th, 2020|Tags: , , |0 Comments

Provincial Testing Trends 7/2/20

These graphs show the 7-day trends in positive test results for each province. The data has been retrieved from the Government of Canada. The graphs compare the number of positive tests for the most recent 7-day period to the results for the preceding 7-day period. In other words, they compare the most recent days Read more

By |2020-07-04T21:40:53+00:00July 4th, 2020|Tags: , , , |0 Comments

Provincial Positive Test Percentages (Positivity) 7/2/20

The percentage of virus tests that show positive results ("positivity") is an indicator of the percentage of the total infections that is being identified through testing. The higher the positivity is, the lower the percentage of overall infections being detected is, all other things being equal. These graphs show the history of positivity in Read more

By |2020-07-04T21:37:23+00:00July 4th, 2020|Tags: , , , |0 Comments

Provincial History of Contagiousness 7/2/20

These graphs show the history of contagiousness in each province.Contagiousness is calculated as the number of people who are actively infected for the 9-day period from 3 days before a positive test to 5 days after.Total number of people infected is calculated using the two infection models.Most provinces have had few enough positive tests and deaths Read more

By |2020-07-04T21:50:17+00:00July 4th, 2020|Tags: , , , |0 Comments